Outcome Prediction of Spontaneous Supratentorial Intracerebral Hemorrhage after Surgical Treatment Based on Non-Contrast Computed Tomography: A Multicenter Study

This study aims to explore the value of a machine learning (ML) model based on radiomics features and clinical features in predicting the outcome of spontaneous supratentorial intracerebral hemorrhage (sICH) 90 days after surgery. A total of 348 patients with sICH underwent craniotomy evacuation of...

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Detalles Bibliográficos
Autores principales: Zhang, Kangwei, Zhou, Xiang, Xi, Qian, Wang, Xinyun, Yang, Baoqing, Meng, Jinxi, Liu, Ming, Dong, Ningxin, Wu, Xiaofen, Song, Tao, Wei, Lai, Wang, Peijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961203/
https://www.ncbi.nlm.nih.gov/pubmed/36836120
http://dx.doi.org/10.3390/jcm12041580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961203/
https://www.ncbi.nlm.nih.gov/pubmed/36836120
http://dx.doi.org/10.3390/jcm12041580

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